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the big one the Bromley one going over yellow [Music] Oh inaudible she looks watching morning ladies and gents Boise gross welcome on board the curvature as we depart the key name we have to do routine safety announcement as requested by the Department of Transport situated Frank the boats life-saving equipment top dec...
the big one the bromley one going over yellow 0 inaudible she looks watching morning ladies and gents boise gross welcome on board the curvature as we depart the key name we have to do routine safety announcement as requested by the department of transport situated frank the boats life saving equipment top deck of the ...
https://www.youtube.com/watch?v=PM_O1cxCdxc
2,162.706563
hey Chapel Street Church family I'm excited to tell you about our next generosity initiative as you probably know every year in Advent season during Christmas we select a serve the world partner to tell you their story to pray for them and to encourage you to be generous to what God is doing in their Ministries and the...
hey chapel street church family i am excited to tell you about our next generosity initiative as you probably know every year in advent season during christmas we select a serve the world partner to tell you their story to pray for them and to encourage you to be generous to what god is doing in their ministries and th...
https://www.youtube.com/watch?v=Ea5Q7PpiBgE
514.647062
Oh was coming eventually I nothing negative I just would like to say I ordered my June 2017 nerdblock and today is July 13th and it finally came this is in no way a sip of same nation subscribes remember I see is I get another fun Zilla I am subscribing to look pretty I just wanted to do an unboxing video so this is th...
0 was coming eventually i nothing negative i just would like to say i ordered my june 2017 nerdblock and today is july 13th and it finally came this is in no way a sip of same nation subscribes remember i see is i get another fun zilla i am subscribing to look pretty i just wanted to do an unboxing video so this is the...
https://www.youtube.com/watch?v=UNEPGGvvouw
364.553313
another example of trying to compare the amount of forage we have the forage supply to the forge demand in order to get to a stocking rate this is scenario 2 and we have three pastures there are nine hundred and seventy acres on this site that's in central Idaho and we're gonna start by looking at forage demand on fora...
another example of trying to compare the amount of forage we have the forage supply to the forge demand in order to get to a stocking rate this is scenario 2 and we have 3 pastures there are 970 acres on this site that is in central idaho and we are going to start by looking at forage demand on forage supply and forage...
https://www.youtube.com/watch?v=hhrHtRx5aIY
660.096875
drop this down and see if we can get some fish instant cody we found the juice oh god yeah what is going on everybody welcome back to nb edits today as you can tell cody and i cody you guys are not familiar he's a fellow wisconsin angler also we're up here in northern wisconsin and we're gonna be doing some ice fishing...
drop this down and see if we can get some fish instant cody we found the juice 0 god yeah what is going on everybody welcome back to nb edits today as you can tell cody and i cody you guys are not familiar he is a fellow wisconsin angler also we are up here in northern wisconsin and we are going to be doing some ice fi...
https://www.youtube.com/watch?v=GFoXFiHqtEc
3,556.275375
"the views and opinions expressed on the following program are those of the host and guests and do n(...TRUNCATED)
"the views and opinions expressed on the following program are those of the host and guests and do n(...TRUNCATED)
https://www.youtube.com/watch?v=zW4bulfYnGs
1,205.533625
"[Music] what a wonderful day to go work on a cooler so we got one that's freezing up so we're gonna(...TRUNCATED)
"what a wonderful day to go work on a cooler so we got one that is freezing up so we are going to ge(...TRUNCATED)
https://www.youtube.com/watch?v=BdwbzPsmBco
1,116.55475
"Welcome to the third session. What we have so far done is we have used only two colours. Now that c(...TRUNCATED)
"welcome to the 3rd session what we have so far done is we have used only 2 colors now that can beco(...TRUNCATED)
https://www.youtube.com/watch?v=q0nbCZMCvtU
2,165.446562
"welcome to to New Year's gr training uh as Charles said my name is Eric Palmer I'm going to be talk(...TRUNCATED)
"welcome to to new year is gr training as charles said my name is eric palmer i am going to be talki(...TRUNCATED)
https://www.youtube.com/watch?v=KJ_PCzQjGRQ
551.334625
"we we believe the the scripture that says the gospel is the power of God and the salvation We Belie(...TRUNCATED)
"we we believe the the scripture that says the gospel is the power of god and the salvation we belie(...TRUNCATED)
https://www.youtube.com/watch?v=Kx_iYoioQqg
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Dataset Card for youtube-commons-asr-eval

Dataset Summary

This evaluation dataset is created from a subset of Youtube-Commons [PleIAs/YouTube-Commons] by selecting English YouTube videos and corresponding english subtitle.

Supported Tasks and Leaderboards

This dataset will be primarily useful for automatic speech recognition evaluation tasks such as hf-audio/open_asr_leaderboard.

Languages

This subset is for English language evaluations.

Dataset Structure

The dataset consists of 94 video links, transcriptions, and normalized transcriptions (around 38 hours) of age-appropriate audios with a minimum word count of 300. With a normal speaking rate of 2.5 words per second, this corresponds to a minimum duration of 2 minutes. Minimum duration of the dataset is 128 seconds and maximum is 02:08 hours. The average duration per file is a little over 24 minutes and the standard deviation is 25 minutes. The notable variability in audio duration, as indicated by the standard deviation, mirrors typical real-time environments.

Data Fields

Each row in the JSON file has link (link to the youtube video), text (transcription), norm_text (normalized transcription) and duration (duration of the video) fields.

Data Splits

Evaluation data

Dataset Creation

Normalization is done via EnglishTextNormalizer from open_asr_eval [https://github.com/huggingface/open_asr_leaderboard/blob/main/normalizer/normalizer.py] The dataset is created by selecting the first 100 files from Youtube-Commons, with a minimum of 300 transcription words and age-appropriate content. Three files are manually removed owing to high errors in the transcription observed in visual inspection and also verified with high WER on different ASR implementations.

Licensing Information

All the transcripts are part of a video shared under a CC-By license on YouTube. All the licensing terms are the same as the original dataset [PleIAs/YouTube-Commons].

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